Conceptual clustering in a first order logic representation
作者： Gilles Bisson
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摘要: : We present the Conceptual Clustering system KBG. The knowledge representation language used, both for input and output, is based on first order logic with some extensions to handle quantitative procedural knowledge. From a set of observations domain theory, KBG structures this information into directed graph concepts. This generated by an iterative use clustering generalization operators, guided similarity measures.
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